Engineering Manager, Data Experience

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

As Netflix continues to innovate on its products and grow its member base beyond 280 million, we have a strategic northstar goal to build well-connected data ecosystems to help the business be more connected and drive more insights across all product domains at Netflix. 

To realize the northstar goal, the Data Experience team provides powerful and personalized enterprise software for internal teams doing data discovery, creation, and visualization. Our product packages Netflix’s data services into a cohesive experience for users, and strives to enable data-driven decision making in all aspects of our business. We focus on user-centered product delivery and prioritize features that enhance the productivity of our colleagues; indexing on connectivity, trust, innovation, and reliability. It would allow Netflix to leverage data as its most valuable and strategic asset efficiently, effectively, securely, and in compliance with regulations.

We are looking for a strong seasoned technical leader to help us build and realize this vision. 

About the Role

As a manager, you will lead and mentor the team across all aspects of UI engineering—architecture, performance, accessibility, design systems, and developer experience. You’ll operate at the intersection of infrastructure and usability, delivering tools that make our internal platform powerful and delightful for technical users.
 

Responsibilities

• Lead, mentor, and develop a team of UI engineers building a unified suite of data products across the data platform ecosystem.

• Drive technical direction and architecture for frontend systems (React, TypeScript, GraphQL), balancing scalability, reusability, and simplicity.

• Partner with Product, UX, and Backend Engineering to shape end-to-end data discovery north star experiences, enhancing data-driven decision-making through our data portal, query engine UI, and interactive tools.

• Collaborate with infrastructure teams working on databases, stream processing platforms, storage systems, and query engines to align on APIs, capabilities, and integration patterns.

• Make swift, high-quality decisions to unblock progress, reduce ambiguity, and uphold delivery momentum.

• Champion best practices in accessibility, performance, and operational excellence for production-grade frontend systems.

• Shape roadmap and priorities to maximize adoption, platform leverage, and end-user impact.
   

Qualifications

• 4+ years managing engineering teams, with a strong track record of growing individuals and delivering complex systems.

• 8+ years of experience building modern web applications with deep expertise in full stack/frontend systems.

• Proven experience developing internal tools or data-facing applications used by engineers, analysts, or ML practitioners.

• Strong product instincts and the ability to align engineering efforts with user needs and platform value.

• Ability to make sound, timely decisions in fast-paced environments with evolving priorities with a combination of data and intuition.

• Demonstrated success in cross-functional collaboration across product, design, and adjacent engineering domains.
   

Bonus Points

• Experience building or contributing to data portals, query interfaces, notebook platforms, or stream processing UIs.

• Familiarity with modern data infrastructure: Kafka, Flink, Trino, Iceberg, or internal developer platforms.

• Experience with accessibility standards, testing frameworks, and design systems at scale.

Specifically, you will:

• Drive, build, and deliver the vision, strategy, and adoption of data discovery and governance tech solutions across Netflix.

• Form trusting cross-functional partnerships to align across business stakeholders, product managers, and many engineering teams to ensure our solutions meet their business needs and deliver the most critical impact for the business.

• Build, scale and grow a team of outstanding en